Mapping the structure and evolution of JISIB: A bibliometric analysis of articles published in the Journal of Intelligence Studies in Business between 2011 and 2017
DOI:
https://doi.org/10.37380/jisib.v8i3.362Keywords:
Business intelligence, competitive intelligence, conceptual evolution map, coword analysis, science mapping analysisAbstract
Today, organizations are facing technological, economic and social challenges that require the intelligent use of data, information and knowledge. To this end, organizations are developing capabilities around intelligence. From the organizational point of view, intelligence in business is a relatively new field study, so it is convenient to know and understand what the main themes are and their evolution in order to facilitate their integration. Taking this into account, the current research conducts a conceptual and structural analysis of the Journal of Intelligence Studies in Business (JISIB). JISIB is one of the few academic journals devoted purely to publishing articles about business intelligence, collective intelligence, competitive intelligence, economic intelligence, market intelligence, marketing intelligence, scientific and technical intelligence, strategic intelligence, and their equivalent terms in other languages. This analysis is carried out by quantifying the main bibliometric performance indicators, identifying the main authors and evaluating the development of the main themes within it using SciMAT as a bibliometric analysis software. To this purpose, the documents published in JISIB from 2011 to 2017 were retrieved from two different sources: the JISIB official web page and the Web of Science. In this way, the bibliometric performance analysis evaluates the impact of the scientific output based on publications and their citations, while science mapping illustrates the intellectual structure of the journal and the evolution of the main research themes. Bearing in mind that JISIB provides an open platform for the publication of original research articles, opinion articles, book reviews and conference proceedings about the intelligence field, this research allows to understand its structure and evolution and all the themes associated with it. It provides a framework to support intelligence researchers and professionals in the development and direction of future research by identifying emerging, transversal, core and declining themes. Finally, this study includes a performance analysis of JISIB.
References
Batagelj, V., and Cerinšek, M. (2013). On bibliographic networks. Scientometrics, 96(3), 845-864.
Bjork, B.-C., Roos, A., and Lauri, M. (2009). Scientific journal publishing: yearly volume and open access availability. Information Research: An International Electronic Journal, 14(1).
Börner, K., Chen, C., and Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1), 179-255.
Calof, J., and Dishman, P. (2007). Competitive intelligence and the global SME. Cheltenham: Edward Elgar Publishing Ltd.
Castellanos, O. F., and Torres, L. M. (2010). Technology Intelligence: Methods and Capabilities for Generation of Knowledge and Decision Making. New York: IEEE.
Cobo, M. J., Lopez-Herrera, A. G., Herrera- Viedma, E., and Herrera, F. (2011a). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146-166.
Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., and Herrera, F. (2011b). Science Mapping Software Tools: Review, Analysis, and Cooperative Study Among Tools. Journal of the American Society for Information Science and Technology, 62(7), 1382-1402.
Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., and Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609-1630.
Chang, H., Gausemeier, J., Ihmels, S., Wenzelmann, C., and Iaeng. (2007). Technology intelligence with bibliometrics Imecs 2007: International Multiconference of Engineers and Computer Scientists, Vols I and Ii (pp. 796-+). Hong Kong: Int Assoc Engineers-Iaeng.
Davenport, E., and Cronin, B. (1994). Competitive intelligence and social advantage. Library Trends, 43(2), 239-252.
de' Rossi, S. (2005). Marketing intelligence system to forecast telecommunications competitive landscape. In A. Zanasi (Ed.), Text Mining and Its Applications to Intelligence, Crm and Knowledge Management (Vol. 2, pp. 219-225). Southampton: Wit Press/Computational Mechanics Publications.
De Coster, R., Phillips, S., Szopa, A., Karwowski, W., and DePablos, P. O. (2013). Technology Intelligence Systems in Industry and Academic Networks. Hersey: IGI Global.
De la Flor-Martinez, M., Galindo-Moreno, P., Sanchez-Fernandez, E., Piattelli, A., Cobo, M. J., and Herrera-Viedma, E. (2016). H-classic: a new method to identify classic articles in Implant Dentistry, Periodontics, and Oral Surgery. Clinical Oral Implants Research, 27(10), 1317-1330.
Devouard, F. (2011). Collective Intelligence and Business Enterprise 2.0. Lausanne: Epfl Press.
Dewatripont, M., Ginsburgh, V., Legros, P., Walckiers, A., Devroey, J.-P., Dujardin, M., Ivaldi, M. (2006). Study on the economic and technical evolution of the scientific publication markets in Europe.
Du Toit, A. S. A. (2003). Competitive intelligence in the knowledge economy: What is in it for South African manufacturing enterprises? International Journal of Information Management, 23(2), 111-120.
Du Toit, A. S. A., and Sewdass, N. (2014). Competitive intelligence (CI) in Morocco. African Journal of Library Archives and Information Science, 24(1), 3-13.
Du Toit, A. S. A. (2015). Competitive intelligence research: An investigation of trends in the literature. Journal of Intelligence Studies in Business, 5(2), 14-21.
Gilad, B., and Gilad, T. (1985). A Systems- Approach to Business Intelligence. Business Horizons, 28(5), 65-70.
Gutiérrez-Salcedo, M., Martínez, M. A., Moral- Munoz, J. A., Herrera-Viedma, E., and Cobo,
M. J. (2017). Some bibliometric procedures for analyzing and evaluating research fields. Applied Intelligence, 1-13.
Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569.
James, D. (2014). 3D ICs in the Real World 2014 25th Annual Semi Advanced Semiconductor Manufacturing Conference (pp. 113-119). New York: IEEE.
Kelley, W. T. (1965). Marketing Intelligence for Top Management. Journal of Marketing, 29(4), 19-24.
Larivet, S. (2009). Economic Intelligence in Small and Medium Businesses in France: a survey. Vasteras-Eskilstina: Malardalen Univ Sweden.
Luhn, H. P. (1958). A Business Intelligence System. IBM Journal of Research and Development, 2(4), 314-319.
Maltz, E., and Kohli, A. K. (1996). Market intelligence dissemination across functional boundaries. Journal of Marketing Research, 33(1), 47-61.
Martínez, M. A., Herrera, M., López-Gijón, J., and Herrera-Viedma, E. (2014). H-Classics: Characterizing the concept of citation classics through H-index. Scientometrics, 98(3), 1971-1983.
McCormick, K., Creeth, R., Mutchler, S., Azevedo, A., and Santos, M. F. (2015). 3rd Order Analytics Demand Planning: A Collaboration of BI and Predictive Analytics Tools. Hersey: IGI Global.
Menychtas, A., Vogel, J., Giessmann, A., Gatzioura, A., Gomez, S. G., Moulos, V., Varvarigou, T. (2014). 4CaaSt marketplace: An advanced business environment for trading cloud services. Future Generation Computer Systems-the International Journal of Grid Computing and Escience, 41, 104-120.
Moral-Munoz, J. A., Cobo, M. J., Chiclana, F., Collop, A., and Herrera-Viedma, E. (2016). Analyzing Highly Cited Papers in Intelligent Transportation Systems. Ieee Transactions on Intelligent Transportation Systems, 17(4), 993-1001.
Mortara, L., Kerr, C. I. V., Phaal, R., and Probert,
D. R. (2009). Technology Intelligence practice in UK technology-based companies. International Journal of Technology Management, 48(1), 115-135.
Navarro-Garcia, A., Peris-Oritz, M., and Barrera- Barrera, R. (2016). Market intelligence effect on perceived psychic distance, strategic behaviours and export performance in industrial SMEs. Journal of Business & Industrial Marketing, 31(3), 365-380.
Perrine, S. (2004). Economic intelligence: How to process useful information? Orlando: Int Inst Informatics & Systemics.
Prescott, J. E., and Gibbons, P. T. (1993). Global competitive intelligence: an overview. Global Perspectives on Competitive Intelligence. Alexandria, VA: Society of Competitive Intelligence Professionals, 66.
Prescott, J. E., and Bharadwaj, G. (1995). Competitive intelligence practices: A survey. Competitive Intelligence Review, 6 (2), pp. 4-14.
Seiglie, C., Coissard, S., and Echinard, Y. (2008). Economic Intelligence and National Security. In J. Fontanel and M. Chatterji (Eds.), War, Peace and Security (Vol. 6, pp. 235-248). Bingley: Emerald Group Publishing Limited.
Sheremetov, L., and Rocha-Mier, L. (2004). Collective intelligence as a framework for supply chain management. New York: IEEE.
Shimbel, A. (1975). Collective Intelligence.
General Systems, 20, 205-208.
Smith, A. H. (1953). Economic Intelligence Work in a Bank. Journal of Documentation, 9(1), 42- 47.
Søilen, K. S. (2013). An overview of articles on Competitive Intelligence in JCIM and CIR. Journal of Intelligence Studies in Business, 3(1).
Søilen, K.S. (2015) A place for intelligence studies as a scientific discipline. Journal of Intelligence Studies in Business. Vol 5, No 3. Pages 35-46.
Søilen, K.S. (2016) A research agenda for intelligence studies in business. Journal of Intelligence Studies in Business. Vol 6, No 1. Pages 21-36.
Søilen, K. S. (2017). Business intelligence, big data and theory. Journal of Intelligence Studies in Business, 7(1), 4-4.
Tuta, M., Zara, I. A., Orzan, G., Purcarea, V. L., and Orzan, O. A. (2014). Competitive Intelligence - An Enhancement to Business Intelligence. Economic Computation and Economic Cybernetics Studies and Research, 48(2), 151-161.
Wang, J. (2013). Citation time window choice for research impact evaluation. Scientometrics, 94(3), 851-872.
Zhou, F., and Lai, K. K. (2009). Marketing Intelligence on Customer Experiential Values: An Structural Equation Model Approach. Los Alamitos: IEEE Computer Soc.
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